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Who cites Rulin Shao

590 citations of their works from 552 papers of our library (of the 149,439 whose bibliographies we read) · 147 with a page here, the most cited first · page 1 of 2 · 1–100 · ← Rulin Shao

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  1. The Llama 3 Herd of ModelsarXiv:2407.21783Aaron Grattafiori, Abhimanyu Dubey, Abhinav Jauhri, et al.2024 · 7,682 citations
  2. Kimi k1.5: Scaling Reinforcement Learning with LLMsarXiv:2501.12599Kimi Team, Angang Du, Bofei Gao, et al.2025 · 431 citations
  3. Large Language Monkeys: Scaling Inference Compute with Repeated SamplingarXiv:2407.21787Bradley Brown, Jordan Juravsky, Ryan Ehrlich, et al.2024 · 270 citations
  4. RedPajama: an Open Dataset for Training Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Maurice Weber, Daniel Fu, Quentin Anthony, et al.2024 · 260 citations
  5. DataComp-LM: In search of the next generation of training sets for language modelsConference on Neural Information Processing Systems (NeurIPS)Jeffrey Li, Alex Fang, Georgios Smyrnis, et al.2024 · 191 citations
  6. SmolLM2: When Smol Goes Big — Data-Centric Training of a Small Language ModelarXiv:2502.02737Loubna Ben Allal, Anton Lozhkov, Elie Bakouch, et al.2025 · 181 citations
  7. Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language ModelsScience China Information SciencesQiguang Chen, Libo Qin, Jinhao Liu, et al.2025 · 176 citations
  8. A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and TrustworthinessACM Transactions on Intelligent Systems and TechnologyFali Wang, Zhiwei Zhang, Xianren Zhang, et al.2024 · 159 citations
  9. Olmo 3arXiv:2512.13961Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, et al.2025 · 130 citations
  10. Fanar: An Arabic-Centric Multimodal Generative AI PlatformarXiv:2501.13944Fanar Team: Ummar Abbas, Mohammad Shahmeer Ahmad, Firoj Alam, et al.2025 · 127 citations
  11. OpenThoughts: Data Recipes for Reasoning ModelsarXiv:2506.04178Etash Guha, Ryan Marten, Sedrick Keh, et al.2025 · 122 citations
  12. FineWeb2: One Pipeline to Scale Them All — Adapting Pre-Training Data Processing to Every LanguagearXiv:2506.20920Guilherme Penedo, Hynek Kydliček, Vinko Sabolčec, et al.2025 · 99 citations
  13. World Model on Million-Length Video And Language With Blockwise RingAttentionarXiv:2402.08268Hao Liu, Wilson Yan, Matei Zaharia, et al.2024 · 99 citations
  14. GLM-5: from Vibe Coding to Agentic EngineeringarXiv:2602.15763Aohan Zeng, Xin Lv, Zhenyu Hou, et al.2026 · 95 citations
  15. Dream 7B: Diffusion Large Language ModelsarXiv:2508.15487Jiacheng Ye; Zhihui Xie; Lin Zheng; Jiahui Gao; Zirui Wu; Xin Jiang; Zhenguo Li;, Lingpeng Kong2025 · 89 citations
  16. GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement LearningarXiv:2507.01006GLM-V Team, Wenyi Hong, Wenmeng Yu, et al.2025 · 89 citations
  17. How to Train Long-Context Language Models (Effectively)Annual Meeting of the Association for Computational Linguistics (ACL)Tianyu Gao, Alexander Wettig, Howard Yen, et al.2025 · 89 citations
  18. Small Language Models: Survey, Measurements, and InsightsarXiv:2409.15790Zhenyan Lu, Xiang Li, Dongqi Cai, et al.2024 · 88 citations
  19. TTRL: Test-Time Reinforcement LearningConference on Neural Information Processing Systems (NeurIPS)Yuxin Zuo, Kaiyan Zhang, Li Sheng, et al.2025 · 76 citations
  20. Reinforcement Learning via Self-DistillationarXiv:2601.20802Jonas Hubotter, Frederike Lubeck, Lejs Behric, et al.2026 · 74 citations
  21. Apertus: Democratizing Open and Compliant LLMs for Global Language EnvironmentsAnnual Meeting of the Association for Computational Linguistics (ACL)Alejandro Hernández-Cano, Alexander Hägele, Allen Hao Huang, et al.2026 · 68 citations
  22. Nemotron-CC: Transforming Common Crawl into a Refined Long-Horizon Pretraining DatasetAnnual Meeting of the Association for Computational Linguistics (ACL)Dan Su, Kezhi Kong, Ying Lin, et al.2025 · 65 citations
  23. Reasoning with Exploration: An Entropy PerspectivearXiv:2506.14758Daixuan Cheng, Shaohan Huang, Xuekai Zhu, et al.2025 · 63 citations
  24. OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMsarXiv:2411.14199Akari Asai, Jacqueline He, Rulin Shao, et al.2024 · 62 citations
  25. Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Fei Wang, Xingchen Wan, Ruoxi Sun, et al.2025 · 59 citations
  26. mmBERT: A Modern Multilingual Encoder with Annealed Language LearningarXiv:2509.06888Marc Marone, Orion Weller, William Fleshman, et al.2025 · 59 citations
  27. Rho-1: Not All Tokens Are What You NeedarXiv:2404.07965Zhenghao Lin, Zhibin Gou, Yeyun Gong, et al.2024 · 59 citations
  28. Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling LawsarXiv:2401.00448Nikhil Sardana, Jacob Portes, Sasha Doubov, et al.2024 · 57 citations
  29. RegMix: Data Mixture as Regression for Language Model Pre-trainingarXiv:2407.01492Qian Liu, Xiaosen Zheng, Niklas Muennighoff, et al.2024 · 57 citations
  30. Scaling Laws of RoPE-based ExtrapolationarXiv:2310.05209Xiaoran Liu, Hang Yan, Shuo Zhang, et al.2023 · 54 citations
  31. Hymba: A Hybrid-head Architecture for Small Language ModelsarXiv:2411.13676Xin Dong, Yonggan Fu, Shizhe Diao, et al.2024 · 50 citations
  32. Scaling Laws with Vocabulary: Larger Models Deserve Larger VocabulariesarXiv:2407.13623Chaofan Tao, Qian Liu, Longxu Dou, et al.2024 · 46 citations
  33. olmOCR: Unlocking Trillions of Tokens in PDFs with Vision Language ModelsarXiv:2502.18443Jake Poznanski, Aman Rangapur, Jon Borchardt, et al.2025 · 44 citations
  34. Paloma: A Benchmark for Evaluating Language Model FitConference on Neural Information Processing Systems (NeurIPS)Ian Magnusson, Akshita Bhagia, Valentin Hofmann, et al.2023 · 42 citations
  35. Kimi K3: Open Frontier IntelligencearXiv:2607.24653Kimi Team, Tongtong Bai, Yifan Bai, et al.2026 · 40 citations
  36. Observational Scaling Laws and the Predictability of Language Model PerformancearXiv:2405.10938Yangjun Ruan, Chris J. Maddison, Tatsunori Hashimoto2024 · 40 citations
  37. ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning AgentsConference on Empirical Methods in Natural Language Processing (EMNLP)Qiuchen Wang, Ruixue Ding, Zehui Chen, et al.2025 · 39 citations
  38. Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer ModelsarXiv:2504.03624NVIDIA: Aaron Blakeman, Aarti Basant, Abhinav Khattar, et al.2025 · 38 citations
  39. WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Zhepei Wei, Wenlin Yao, Yao Liu, et al.2025 · 36 citations
  40. Scaling Laws and Compute-Optimal Training Beyond Fixed Training DurationsConference on Neural Information Processing Systems (NeurIPS)Alexander Hägele, Elie Bakouch, Atli Kosson, et al.2024 · 31 citations
  41. Towards Effective and Efficient Continual Pre-training of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jie Chen, Zhipeng Chen, Jiapeng Wang, et al.2025 · 29 citations
  42. DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep ResearcharXiv:2511.19399Rulin Shao, Akari Asai, Shannon Zejiang Shen, et al.2025 · 28 citations
  43. Nemotron 3 Nano: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic ReasoningarXiv:2512.20848NVIDIA: Aaron Blakeman, Aaron Grattafiori, Aarti Basant, et al.2025 · 27 citations
  44. Distillation Scaling LawsarXiv:2502.08606Dan Busbridge, Amitis Shidani, Floris Weers, et al.2025 · 26 citations
  45. Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and EvaluationACM Computing SurveysSteffen Eger, Yong Cao, Jennifer D'Souza, et al.2025 · 25 citations
  46. RWKV-7 "Goose" with Expressive Dynamic State EvolutionarXiv:2503.14456Bo Peng, Ruichong Zhang, Daniel Goldstein, et al.2025 · 23 citations
  47. MiniCPM4: Ultra-Efficient LLMs on End DevicesarXiv:2506.07900MiniCPM Team, Chaojun Xiao, Yuxuan Li, et al.2025 · 22 citations
  48. Scaling Latent Reasoning via Looped Language ModelsarXiv:2510.25741Rui-Jie Zhu, Zixuan Wang, Kai Hua, et al.2025 · 22 citations
  49. AI4Research: A Survey of Artificial Intelligence for Scientific ResearchScience China Information SciencesQiguang Chen, Mingda Yang, Libo Qin, et al.2025 · 21 citations
  50. SURVEYFORGE : On the Outline Heuristics, Memory-Driven Generation, and Multi-dimensional Evaluation for Automated Survey WritingAnnual Meeting of the Association for Computational Linguistics (ACL)Xiangchao Yan, Shiyang Feng, Jiakang Yuan, et al.2025 · 20 citations
  51. Resolving Discrepancies in Compute-Optimal Scaling of Language ModelsConference on Neural Information Processing Systems (NeurIPS)Tomer Porian, Mitchell Wortsman, Jenia Jitsev, et al.2024 · 19 citations
  52. ReasonRank: Empowering Passage Ranking with Strong Reasoning AbilityAnnual Meeting of the Association for Computational Linguistics (ACL)Wenhan Liu, Xinyu Ma, Weiwei Sun, et al.2026 · 18 citations
  53. Dataset Decomposition: Faster LLM Training with Variable Sequence Length CurriculumConference on Neural Information Processing Systems (NeurIPS)Hadi Pouransari, Chun-Liang Li, Jen-Hao Rick Chang, et al.2024 · 16 citations
  54. Rethinking Reflection in Pre-TrainingarXiv:2504.04022Essential AI: Darsh J Shah, Peter Rushton, Somanshu Singla, et al.2025 · 15 citations
  55. Rewarding the Unlikely: Lifting GRPO Beyond Distribution SharpeningConference on Empirical Methods in Natural Language Processing (EMNLP)Andre Wang He, Daniel Fried, Sean Welleck2025 · 15 citations
  56. RaDeR: Reasoning-aware Dense Retrieval ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Debrup Das, Sam O'Nuallain, Razieh Rahimi2025 · 14 citations
  57. DRAMA: Diverse Augmentation from Large Language Models to Smaller Dense RetrieversAnnual Meeting of the Association for Computational Linguistics (ACL)Xueguang Ma, Xi Victoria Lin, Barlas Oguz, et al.2025 · 13 citations
  58. Maximize Your Data's Potential: Enhancing LLM Accuracy with Two-Phase PretrainingarXiv:2412.15285Steven Feng, Shrimai Prabhumoye, Kezhi Kong, et al.2024 · 12 citations
  59. MiniPLM: Knowledge Distillation for Pre-Training Language ModelsarXiv:2410.17215Yuxian Gu, Hao Zhou, Fandong Meng, et al.2024 · 12 citations
  60. Can LLMs Identify Critical Limitations within Scientific Research? A Systematic Evaluation on AI Research PapersAnnual Meeting of the Association for Computational Linguistics (ACL)Zhijian Xu, Yilun Zhao, Manasi Patwardhan, et al.2025 · 11 citations
  61. SciArena: An Open Evaluation Platform for Non-Verifiable Scientific Literature-Grounded TasksConference on Neural Information Processing Systems (NeurIPS)Yilun Zhao, Kaiyan Zhang, Tiansheng Hu, et al.2025 · 11 citations
  62. SciVer: Evaluating Foundation Models for Multimodal Scientific Claim VerificationAnnual Meeting of the Association for Computational Linguistics (ACL)Chengye Wang, Yifei Shen, Zexi Kuang, et al.2025 · 11 citations
  63. Diffusion vs. Autoregressive Language Models: A Text Embedding PerspectiveConference on Empirical Methods in Natural Language Processing (EMNLP)Siyue Zhang, Yilun Zhao, Liyuan Geng, et al.2025 · 10 citations
  64. SciRAG: Adaptive, Citation-Aware, and Outline-Guided Retrieval and Synthesis for Scientific LiteratureConference of the European Chapter of the Association for Computational Linguistics (EACL)Hang Ding, Yilun Zhao, Tiansheng Hu, et al.2026 · 7 citations
  65. Pushing on Multilingual Reasoning Models with Language-Mixed Chain-of-ThoughtarXiv:2510.04230Guijin Son, Donghun Yang, Hitesh Laxmichand Patel, et al.2025 · 7 citations
  66. Bilingual Adaptation of Monolingual Foundation ModelsarXiv:2407.12869Gurpreet Gosal, Yishi Xu, Gokul Ramakrishnan, et al.2024 · 7 citations
  67. Arabic Stable LM: Adapting Stable LM 2 1.6B to ArabicarXiv:2412.04277Zaid Alyafeai, Michael Pieler, Hannah Teufel, et al.2024 · 6 citations
  68. MoNaCo: More Natural and Complex Questions for Reasoning Across Dozens of DocumentsTransactions of the Association for Computational Linguistics (TACL)Tomer Wolfson, Harsh Trivedi, Mor Geva, et al.2026 · 5 citations
  69. Aleph-Alpha-GermanWeb: Improving German-language LLM pre-training with model-based data curation and synthetic data generationConference of the European Chapter of the Association for Computational Linguistics (EACL)Thomas F Burns, Letitia Parcalabescu, Stephan Waeldchen, et al.2026 · 4 citations
  70. Test-time Corpus Feedback: From Retrieval to RAGFindings of the Association for Computational LinguisticsMandeep Rathee, Venktesh V, Sean MacAvaney, et al.2026 · 4 citations
  71. Agentic Rubrics as Contextual Verifiers for SWE AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Mohit Raghavendra, Anisha Gunjal, Bing Liu, et al.2026 · 3 citations
  72. Better LLM Reasoning via Dual-PlayFindings of the Association for Computational LinguisticsZhengxin Zhang, Chengyu Huang, Aochong Oliver Li, et al.2026 · 3 citations
  73. Learning While Staying Curious: Entropy-Preserving Supervised Fine-Tuning via Adaptive Self-Distillation for Large Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Wang, Hao Gu, Hongming Piao, et al.2026 · 3 citations
  74. Mitigating Catastrophic Forgetting in Target Language Adaptation of LLMs via Source-Shielded UpdatesAnnual Meeting of the Association for Computational Linguistics (ACL)Atsuki Yamaguchi, Terufumi Morishita, Aline Villavicencio, et al.2026 · 3 citations
  75. Stress Testing Factual Consistency Metrics for Long-Document SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Zain Muhammad Mujahid, Dustin Wright, Isabelle Augenstein2026 · 3 citations
  76. A Sovereign, Open-Source Foundation Model for German and EnglisharXiv:2607.09424Soofi-Team: Benedikt Droste, David Fitzek, Ruben Harle, et al.2026 · 2 citations
  77. Baichuan-M3: Modeling Clinical Inquiry for Reliable Medical Decision-MakingarXiv:2602.06570Chengfeng Dou, Fan Yang, Fei Li, et al.2026 · 2 citations
  78. Gained in Translation: Privileged Pairwise Judges Enhance Multilingual ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Lintang Sutawika, Gokul Swamy, Steven Wu, et al.2026 · 2 citations
  79. MR-ALIGN: Meta-Reasoning Informed Factuality Alignment for Large Reasoning ModelsFindings of the Association for Computational LinguisticsXinming Wang, Jian Xu, Bin Yu, et al.2026 · 2 citations
  80. QuCo-RAG: Quantifying Uncertainty from the Pre-training Corpus for Dynamic Retrieval-Augmented GenerationFindings of the Association for Computational LinguisticsDehai Min, Kailin Zhang, Tongtong Wu, et al.2026 · 2 citations
  81. Query Decomposition for RAG: Balancing Exploration-ExploitationConference of the European Chapter of the Association for Computational Linguistics (EACL)Roxana Petcu, Kenton Murray, Daniel Khashabi, et al.2026 · 2 citations
  82. The olmOCR Project: Building Fully Open OCR using VLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Jake Poznanski, Kyle Lo, Luca Soldaini2026 · 2 citations
  83. A Comprehensive Evaluation of Chain-of-Thought Faithfulness in Persian Classification TasksWorkshop on Language Models for Low-Resource LanguagesShakib Yazdani, Cristina España-Bonet, Eleftherios Avramidis, et al.2026 · 1 citation
  84. A Review of Incorporating Psychological Theories in LLMsConference of the European Chapter of the Association for Computational Linguistics (EACL)Zizhou Liu, Ziwei Gong, Lin Ai, et al.2026 · 1 citation
  85. AMALIA: A Fully Open Large Language Model for European PortugueseInternational Conference on Computational Processing of PortugueseAfonso Simplício, Gonçalo Vinagre, Miguel Moura Ramos, et al.2026 · 1 citation
  86. Among Us: Measuring and Mitigating Malicious Contributions in Model Collaboration SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Ziyuan Yang, Wenxuan Ding, Shangbin Feng, et al.2026 · 1 citation
  87. Attribution, Citation, and Quotation: A Survey of Evidence-based Text Generation with Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Tobias Schreieder, Tim Schopf, Michael Färber2026 · 1 citation
  88. BSC's Submission to the Instruction Following Track of IWSLT 2026International Conference on Spoken Language Translation (IWSLT)Oriol Pareras, Joan Llado, Pol Buitrago, et al.2026 · 1 citation
  89. Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-trainingAnnual Meeting of the Association for Computational Linguistics (ACL)Kailai Yang, Xiao Liu, Lei Ji, et al.2026 · 1 citation
  90. Easy Samples Are All You Need: Self-Evolving LLMs via Data-Efficient Reinforcement LearningFindings of the Association for Computational LinguisticsZhiyin Yu, Bo Zhang, Qibin Hou, et al.2026 · 1 citation
  91. From Interpretability to Performance: Optimizing Retrieval Heads for Long-Context Language ModelsFindings of the Association for Computational LinguisticsYoumi Ma, Naoaki Okazaki2026 · 1 citation
  92. IF-CRITIC: Towards a Fine-Grained LLM Critic for Instruction-Following EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Bosi Wen, Yilin Niu, Cunxiang Wang, et al.2026 · 1 citation
  93. KletterMix: Climbing Toward High-Quality German Pretraining Data - The Full ReportarXiv:2606.03773Maurice Kraus, Ruben Harle, Sebastian Sztwiertnia, et al.2026 · 1 citation
  94. Language Models Learn Constructional Semantics, Not To Mention Syntax: Investigating LM Understanding of Paired-Focus ConstructionsConference on Computational Natural Language Learning (CoNLL)Wesley Scivetti, Ethan Gotlieb Wilcox, Nathan Schneider, et al.2026 · 1 citation
  95. OLA: Output Language Alignment in Code-Switched LLM InteractionsAnnual Meeting of the Association for Computational Linguistics (ACL)Juhyun Oh, Haneul Yoo, Faiz Ghifari Haznitrama, et al.2026 · 1 citation
  96. Prior Beliefs Prejudice LLM-as-Judge: Evidence from Persuasion EvaluationFindings of the Association for Computational LinguisticsPardis Sadat Zahraei, Xiaoning Wang, Nimet Beyza Bozdag, et al.2026 · 1 citation
  97. Ready to Translate, Not to Represent? Bias and Performance Gaps in Multilingual LLMs Across Language Families and DomainsFindings of the Association for Computational LinguisticsMd. Faiyaz Abdullah Sayeedi, Subhey Sadi Rahman, Md. Mahbub Alam, et al.2026 · 1 citation
  98. Reasoning Up the Instruction Ladder for Controllable Language ModelsFindings of the Association for Computational LinguisticsZishuo Zheng, Vidhisha Balachandran, Chan Young Park, et al.2026 · 1 citation
  99. Scaling External Knowledge Input Beyond Context Windows of LLMs via Multi-Agent CollaborationAnnual Meeting of the Association for Computational Linguistics (ACL)Zijun Liu, Zhennan Wan, Peng Li, et al.2026 · 1 citation
  100. SPARD: Self-Paced Curriculum for RL Alignment via Integrating Reward Dynamics and Data UtilityAnnual Meeting of the Association for Computational Linguistics (ACL)Xuyang Zhi, Peilun Zhou, Chengqiang Lu, et al.2026 · 1 citation

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